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AI adoption requires a platform approach, with the data , AI models, and AI governance working together seamlessly. So, successful generative AI adoption means integrating data silos, managing your AI infrastructure effectively and choosing the right cloud deployment options. In this episode, our host Albert Lawrence and guests Hillery Hunter, CTO for IBM Infrastructure and GM of Innovation, and Ash Minhas, Engagement Leader at IBM Innovation Studio, explore the link between hybrid cloud and AI and discover how the right tech foundation can help take your AI workloads to the next level.
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
By IBM5
1111 ratings
AI adoption requires a platform approach, with the data , AI models, and AI governance working together seamlessly. So, successful generative AI adoption means integrating data silos, managing your AI infrastructure effectively and choosing the right cloud deployment options. In this episode, our host Albert Lawrence and guests Hillery Hunter, CTO for IBM Infrastructure and GM of Innovation, and Ash Minhas, Engagement Leader at IBM Innovation Studio, explore the link between hybrid cloud and AI and discover how the right tech foundation can help take your AI workloads to the next level.
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

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